Rakesh Boda

Summary

Results-driven Data Analyst with Zensar Technologies, skilled in Python and SQL. Expertly transformed complex datasets into actionable insights, enhancing operational efficiency. Developed interactive Power BI dashboards and automated reporting processes, boosting productivity by 30%. Adept at collaborating with stakeholders to align analytics with business objectives, ensuring data integrity and quality.

Overview

year of professional experience

Work History

Data Analyst

Zensar Technologies

04.2021 - 08.2022

Collected, processed, and analyzed large datasets to identify trends, patterns, and insights for various business domains.
Designed and executed complex SQL queries for ad-hoc analysis and reporting.
Built interactive Power BI dashboards to visualize KPIs, sales performance, and operational efficiency.
Automated recurring reporting tasks using Python scripts, improving productivity and accuracy.
Collaborated with business stakeholders to gather requirements and translate them into technical data solutions.
Cleaned and transformed raw data using Python libraries like Pandas for better analysis and visualization.
Conducted exploratory data analysis (EDA) to support business recommendations and strategic decisions.
Ensured data integrity and consistency through data validation and quality checks.
Participated in Agile sprints and cross-functional meetings to align analytics deliverables with business goals.

Education

Master of Science - Business Analytics

University of New Haven

USA

Bachelor's Degree -

JNTUII

Jagityal, India

Skills

Python
Pandas
NumPy
SQL
Tableau
Power BI
Excel
Jupyter
Git
VS Code

MySQL
PostgreSQL
MongoDB
aws
S3
Redshift
EDA
Data Cleaning
Data Wrangling
Data Modeling

Projects

Predicting Agricultural Outcomes , University of New Haven - Capstone Project, Developed a machine learning model to predict crop yield using multi-factor data including climate, soil, and farming inputs., Used Python (Pandas) to clean, engineer, and model data with Random Forest and algorithms., Identified rainfall and soil moisture as top yield drivers and achieved 85%+ model accuracy., Built interactive Power BI dashboards for scenario analysis and stakeholder insights., Delivered actionable insights to support sustainable agriculture and strategic planning.

Timeline